A PROSPECTIVE STUDY INVESTIGATING THE LINKS AMONG CLASSROOM ENVIRONMENT, SCHOOL CONNECTEDNESS, AND DEPRESSIVE SYMPTOMS IN ADOLESCENTS
Bibliographic record
Abstract
School connectedness and classroom environment have both been strongly linked to depressive symptoms, but their interrelation is unclear. We tested whether school connectedness mediated the link between classroom environment and depressive symptoms. A sample of 504 Australian seventh- and eighth-grade students completed the Classroom Environment Scale, Psychological Sense of School Membership scale, and Children's Depression Inventory, at three time points. Together, the classroom environment and school connectedness accounted for 41% to 45% of variance in concurrent depressive symptoms, and 14% of subsequent depressive symptoms with prior symptoms accounted for. Only a partial mediation was found, with both classroom environment and school connectedness continuing to contribute uniquely to the prediction of concurrent and subsequent depressive symptoms. These findings provide additional support for the idea that school-based pathways to depressive symptoms are a complex interplay between environment and individual difference variables, necessitating individual and environmental school-based interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".